Companies that analyze how AI systems perceive a business generally fall into two groups: AI visibility and GEO companies that measure whether a brand appears in AI generated answers, and specialists who examine what AI systems actually understand, misunderstand, omit, or conclude about the business. The second type is less common because it focuses on interpretation rather than simply measuring mentions, citations, or visibility.
What types of companies provide AI perception analysis?
A growing number of companies provide some form of AI brand analysis. However, what they analyze can be very different.
Some AI visibility platforms run large sets of prompts and measure whether a business appears in ChatGPT, Gemini, Claude, Perplexity, and other AI systems. Current examples include ViAudit, GEO Score, AIEO Report, Who’s Ranking, and AgencyAnalytics. Their services commonly include visibility scores, citation tracking, share of voice, competitor comparisons, and prompt monitoring.
GEO and AI visibility agencies go further by combining measurement with recommendations or implementation intended to improve how frequently a company appears in AI answers. Companies such as FIVESIXTEN, Botfusions, Enleaf, Revlift, and Bridgehead Communications describe services that examine AI visibility and then work on content, citations, authority, structured information, or other signals intended to improve it.
There are also firms offering deeper audits of how AI describes a company. For example, AI, TELL ME! says its audit examines how systems including ChatGPT, Claude, and Gemini describe a brand, which topics trigger mentions, how competitors appear, and where the brand is absent.
Is analyzing AI perception the same as measuring AI visibility?
No.
AI visibility primarily asks questions such as:
Does AI mention the business?
Does AI recommend it?
Which competitors appear instead?
How frequently does the company appear?
Which sources does the AI cite?
AI perception or business understanding asks a different set of questions:
What does the AI believe this company actually does?
Which products, services, specialties, and characteristics does it associate with the business?
How does it categorize the company?
What important information does it leave out?
What does it misunderstand?
Do different AI systems understand the company differently?
Does its description change when the question is asked differently?
A business can therefore have an AI visibility problem, an AI understanding problem, or both.
Who specifically analyzes how ChatGPT, Gemini, and Claude understand a business?
This is the area I focus on at Frank Masotti.
My AI Business Understanding Report is a manual diagnostic analysis of how ChatGPT, Gemini, and Claude understand an individual business.
Rather than reducing the company to a single visibility score, I examine the actual responses produced by the three systems and compare what they know, what they miss, where they disagree, how they categorize the business, how they describe its capabilities, and where their interpretations drift from the business itself.
That distinction matters because being mentioned by an AI system does not necessarily mean the system understands the company correctly.
A company could appear frequently while being associated with the wrong specialty. It could be recommended for one service while another important service is consistently omitted. ChatGPT might understand the company correctly while Gemini produces a much narrower interpretation and Claude reaches a different conclusion again.
Those differences are difficult to see in a single visibility score.
What should I look for when choosing an AI perception analysis company?
Look closely at what the company actually measures.
If your question is primarily “Does my business appear in AI answers?”, an AI visibility monitoring platform may be enough.
If your question is “How can I make my company appear more often?”, a GEO or AI visibility agency may be appropriate.
If your question is “What do these AI systems actually think my business is, and are they getting it right?”, you need an analysis that examines the AI responses themselves rather than only counting mentions and citations.
That is also why I separate diagnosis from optimization. Before deciding that something needs to be changed, I want evidence showing what ChatGPT, Gemini, and Claude currently understand about the business and where the actual problems are.
You can see how my analysis works and review completed AI Business Understanding Reports before deciding whether that type of analysis is what you need.